Interview of Josh Long
summary
Overview of practical work with Spring AI: a full pipeline for retrieval augmented generation that wires source data into vector databases and back into LLMs, a portable abstraction for LLMs and function calling, and explicit structured JSON outputs to make responses programmatic. Demonstrates switching models by configuration, a dozen LLM and vector DB integrations, and an example where test-skipping AI cuts Spring team build time by six days per week with 99.8% accuracy. Notes community and conference scale at Devoxx France.
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chapters (10)
- 0:00Devoxx France 2024 welcome
- 1:46Spring AI and generative AI
- 3:30Retrieval augmented generation
- 5:14Structured outputs and model switching
- 6:58Ethically sourced AI growth
- 8:23LLMs in legal documents
- 10:07Spring ecosystem and AI
- 11:54Java’s role in AI
- 12:38AI-driven test optimization
- 14:02Devoxx France and Java community
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